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searching for Multivariate normal distribution 15 found (128 total)

alternate case: multivariate normal distribution

Bernstein–von Mises theorem (1,197 words) [view diff] exact match in snippet view article find links to article

posterior distribution converges in total variation distance to a multivariate normal distribution centered at the maximum likelihood estimator θ ^ n {\displaystyle
Mary Ellen Bock (329 words) [view diff] case mismatch in snippet view article find links to article
dissertation on Certain Minimax Estimators of the Mean of a Multivariate Normal Distribution. As chair of statistics at Purdue from 1995 to 2010, Bock led
GHK algorithm (2,266 words) [view diff] exact match in snippet view article find links to article
distributed independently one can simulate draws from a truncated multivariate normal distribution using draws from a univariate random normal. For example, if
Bioctonion (474 words) [view diff] case mismatch in snippet view article find links to article
the American Physical Society D.G. Kabe (1984) "Hypercomplex Multivariate Normal Distribution", Metrika 31(2):63−76 MR744966 A.A. Eliovich & V.I. Sanyuk
Stein's unbiased risk estimate (944 words) [view diff] case mismatch in snippet view article find links to article
Charles M. (November 1981). "Estimation of the Mean of a Multivariate Normal Distribution". The Annals of Statistics. 9 (6): 1135–1151. doi:10.1214/aos/1176345632
Q-function (2,964 words) [view diff] exact match in snippet view article find links to article
{X} \sim {\mathcal {N}}(\mathbf {0} ,\,\Sigma )} follows the multivariate normal distribution with covariance Σ {\displaystyle \Sigma } and the threshold
Jean-François Richard (603 words) [view diff] case mismatch in snippet view article find links to article
Analysis, 1974, 419–452. A Note on the Information Matrix of the Multivariate Normal Distribution, Journal of Econometrics, 3, 1975, 57–60 Bayesian Analysis
Linear belief function (3,955 words) [view diff] exact match in snippet view article find links to article
multiple normal variables with mean μ and covariance Σ. Then, the multivariate normal distribution can be equivalently represented as a moment matrix: M ( X )
Minimax estimator (1,961 words) [view diff] exact match in snippet view article find links to article
 1094–1116 Stein, C. (1981). "Estimation of the mean of a multivariate normal distribution". Annals of Statistics. 9 (6): 1135–1151. doi:10.1214/aos/1176345632
EM algorithm and GMM model (1,230 words) [view diff] exact match in snippet view article find links to article
2019). "Machine Learning —Expectation-Maximization Algorithm (EM)". Medium. Tong, Y. L. (2 July 2020). "Multivariate normal distribution". Wikipedia.
Financial correlation (4,165 words) [view diff] exact match in snippet view article find links to article
elliptical. However, only few financial distributions such as the multivariate normal distribution and the multivariate student-t distribution are special cases
Thurstonian model (1,454 words) [view diff] exact match in snippet view article find links to article
and ri, sample zi. The zij must be sampled from a truncated multivariate normal distribution to preserve their rank ordering. Hajivassiliou's Truncated
Sparse PCA (2,317 words) [view diff] exact match in snippet view article find links to article
specifies that data X {\displaystyle X} are generated from a multivariate normal distribution with mean 0 and covariance equal to an identity matrix, and
Metropolis–Hastings algorithm (4,556 words) [view diff] exact match in snippet view article find links to article
sufficiently regular Bayesian posteriors as they often follow a multivariate normal distribution as can be established using the Bernstein–von Mises theorem
List of ISO standards 22000–23999 (3,687 words) [view diff] exact match in snippet view article find links to article
Process capability statistics for characteristics following a multivariate normal distribution ISO 22514-7:2012 Part 7: Capability of measurement processes